nicolay-r/qwen25-05b-multiclinsum-standard

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Uses

Direct Use

We use bulk-chain for inference with the Qwen2 provider based on transformers pipelines API.

Provider huggingface_qwen.py: https://github.com/nicolay-r/nlp-thirdgate/blob/9e46629792e9a53871710884f7b9e2fe42666aa7/llm/transformers_qwen2.py

from bulk_chain.api import iter_content
from bulk_chain.core.utils import dynamic_init

content_it = iter_content(
  schema={"schema": [
      {"prompt": "Summarize: {input}", "out": "summary"}]
  },
  llm=dynamic_init(
    class_filepath="huggingface_qwen.py",
    class_name="Qwen2")(
      api_token="YOUR_HF_API_KEY_GOES_HERE",
      model_name="nicolay-r/qwen25-05b-multiclinsum-standard",
      temp=0.1,
      use_bf16=True,
      max_new_tokens=args.max_tokens,
      device=args.device
  ),
  infer_mode="batch",
  batch_size=4,
  return_mode="record",
  # INPUT TEXTS:
  input_dicts_it=[
     {"input": "A patient 62 years old with ..."}
  ],
)

for record in content_it:
  # here is the result dictionary that includes summary.
  print(record["summary"])

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

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Training Details

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Summary

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